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dc.contributor.authorHerbert, Carly
dc.contributor.authorBroach, John P.
dc.contributor.authorGerber, Ben S.
dc.contributor.authorFahey, Nisha
dc.contributor.authorOrvek, Elizabeth Aaker
dc.contributor.authorLazar, Peter
dc.contributor.authorFerranto, Julia M.
dc.contributor.authorNoorishirazi, Kamran
dc.contributor.authorValpady, Shivakumar
dc.contributor.authorShi, Qiming
dc.contributor.authorLin, Honghuang
dc.contributor.authorMarvel, Kathryn
dc.contributor.authorGibson, Laura L.
dc.contributor.authorBarton, Bruce A.
dc.contributor.authorLemon, Stephenie C.
dc.contributor.authorHafer, Nathaniel S.
dc.contributor.authorMcManus, David D.
dc.contributor.authorSoni, Apurv
dc.date2022-08-11T08:10:20.000
dc.date.accessioned2022-08-23T17:04:37Z
dc.date.available2022-08-23T17:04:37Z
dc.date.issued2022-06-16
dc.date.submitted2022-07-19
dc.identifier.citation<p>Herbert C, Kheterpal V, Suvarna T, Broach J, Marquez JL, Gerber B, Schrader S, Nowak C, Harman E, Heetderks W, Fahey N, Orvek E, Lazar P, Ferranto J, Noorishirazi K, Valpady S, Shi Q, Lin H, Marvel K, Gibson L, Barton B, Lemon S, Hafer N, McManus D, Soni A. Design and Preliminary Findings of Adherence to the Self-Testing for Our Protection From COVID-19 (STOP COVID-19) Risk-Based Testing Protocol: Prospective Digital Study. JMIR Form Res. 2022 Jun 16;6(6):e38113. doi: 10.2196/38113. PMID: 35649180; PMCID: PMC9205422. <a href="https://doi.org/10.2196/38113">Link to article on publisher's site</a></p>
dc.identifier.issn2561-326X (Linking)
dc.identifier.doi10.2196/38113
dc.identifier.pmid35649180
dc.identifier.urihttp://hdl.handle.net/20.500.14038/44673
dc.description<p>Full author list omitted for brevity. For the full list of authors, see article.</p>
dc.description.abstractBACKGROUND: Serial testing for SARS-CoV-2 is recommended to reduce spread of the virus; however, little is known about adherence to recommended testing schedules and reporting practices to health departments. OBJECTIVE: The Self-Testing for Our Protection from COVID-19 (STOP COVID-19) study aims to examine adherence to a risk-based COVID-19 testing strategy using rapid antigen tests and reporting of test results to health departments. METHODS: STOP COVID-19 is a 12-week digital study, facilitated using a smartphone app for testing assistance and reporting. We are recruiting 20,000 participants throughout the United States. Participants are stratified into high- and low-risk groups based on history of COVID-19 infection and vaccination status. High-risk participants are instructed to perform twice-weekly testing for COVID-19 using rapid antigen tests, while low-risk participants test only in the case of symptoms or exposure to COVID-19. All participants complete COVID-19 surveillance surveys, and rapid antigen results are recorded within the smartphone app. Primary outcomes include participant adherence to a risk-based serial testing protocol and percentage of rapid tests reported to health departments. RESULTS: As of February 2022, 3496 participants have enrolled, including 1083 high-risk participants. Out of 13,730 tests completed, participants have reported 13,480 (98.18%, 95% CI 97.9%-98.4%) results to state public health departments with full personal identifying information or anonymously. Among 622 high-risk participants who finished the study period, 35.9% showed high adherence to the study testing protocol. Participants with high adherence reported a higher percentage of test results to the state health department with full identifying information than those in the moderate- or low-adherence groups (high: 71.7%, 95% CI 70.3%-73.1%; moderate: 68.3%, 95% CI 66.0%-70.5%; low: 63.1%, 59.5%-66.6%). CONCLUSIONS: Preliminary results from the STOP COVID-19 study provide important insights into rapid antigen test reporting and usage, and can thus inform the use of rapid testing interventions for COVID-19 surveillance.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=35649180&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rightsCopyright © Carly Herbert, Vik Kheterpal, Thejas Suvarna, John Broach, Juan Luis Marquez, Ben Gerber, Summer Schrader, Christopher Nowak, Emma Harman, William Heetderks, Nisha Fahey, Elizabeth Orvek, Peter Lazar, Julia Ferranto, Kamran Noorishirazi, Shivakumar Valpady, Qiming Shi, Honghuang Lin, Kathryn Marvel, Laura Gibson, Bruce Barton, Stephenie Lemon, Nathaniel Hafer, David McManus, Apurv Soni. Originally published in JMIR Formative Research (https://formative.jmir.org), 16.06.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCOVID-19
dc.subjectCOVID-19 testing
dc.subjectSARS-CoV-2
dc.subjectadherence
dc.subjectcoronavirus
dc.subjectdigital health
dc.subjectdigital surveillance
dc.subjectdisease spread
dc.subjecthealth application
dc.subjecthealth care
dc.subjectinfectious disease
dc.subjectmHealth
dc.subjectmobile health
dc.subjectprevention
dc.subjectpublic health
dc.subjectrapid antigen tests
dc.subjectreporting
dc.subjectsmartphone app
dc.subjectsurveillance
dc.subjectvaccination
dc.subjectUMCCTS funding
dc.subjectBehavioral Medicine
dc.subjectCommunity Health and Preventive Medicine
dc.subjectHealth Information Technology
dc.subjectHealth Services Administration
dc.subjectHealth Services Research
dc.subjectInfectious Disease
dc.subjectPreventive Medicine
dc.subjectVirus Diseases
dc.titleDesign and Preliminary Findings of Adherence to the Self-Testing for Our Protection From COVID-19 (STOP COVID-19) Risk-Based Testing Protocol: Prospective Digital Study
dc.typeArticle
dc.source.journaltitleJMIR formative research
dc.source.volume6
dc.source.issue6
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1186&amp;context=prc_pubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/prc_pubs/186
dc.identifier.contextkey30311122
refterms.dateFOA2022-08-23T17:04:37Z
html.description.abstract<p>BACKGROUND: Serial testing for SARS-CoV-2 is recommended to reduce spread of the virus; however, little is known about adherence to recommended testing schedules and reporting practices to health departments.</p> <p>OBJECTIVE: The Self-Testing for Our Protection from COVID-19 (STOP COVID-19) study aims to examine adherence to a risk-based COVID-19 testing strategy using rapid antigen tests and reporting of test results to health departments.</p> <p>METHODS: STOP COVID-19 is a 12-week digital study, facilitated using a smartphone app for testing assistance and reporting. We are recruiting 20,000 participants throughout the United States. Participants are stratified into high- and low-risk groups based on history of COVID-19 infection and vaccination status. High-risk participants are instructed to perform twice-weekly testing for COVID-19 using rapid antigen tests, while low-risk participants test only in the case of symptoms or exposure to COVID-19. All participants complete COVID-19 surveillance surveys, and rapid antigen results are recorded within the smartphone app. Primary outcomes include participant adherence to a risk-based serial testing protocol and percentage of rapid tests reported to health departments.</p> <p>RESULTS: As of February 2022, 3496 participants have enrolled, including 1083 high-risk participants. Out of 13,730 tests completed, participants have reported 13,480 (98.18%, 95% CI 97.9%-98.4%) results to state public health departments with full personal identifying information or anonymously. Among 622 high-risk participants who finished the study period, 35.9% showed high adherence to the study testing protocol. Participants with high adherence reported a higher percentage of test results to the state health department with full identifying information than those in the moderate- or low-adherence groups (high: 71.7%, 95% CI 70.3%-73.1%; moderate: 68.3%, 95% CI 66.0%-70.5%; low: 63.1%, 59.5%-66.6%).</p> <p>CONCLUSIONS: Preliminary results from the STOP COVID-19 study provide important insights into rapid antigen test reporting and usage, and can thus inform the use of rapid testing interventions for COVID-19 surveillance.</p>
dc.identifier.submissionpathprc_pubs/186
dc.contributor.departmentUMass Worcester Prevention Research Center
dc.contributor.departmentGraduate School of Biomedical Sciences
dc.contributor.departmentDivision of Cardiovascular Medicine, Department of Medicine
dc.contributor.departmentDivision of Infectious Diseases and Immunology, Department of Medicine
dc.contributor.departmentDivision of Clinical Informatics, Department of Medicine
dc.contributor.departmentUMass Center for Clinical and Translational Science
dc.contributor.departmentDepartment of Pediatrics
dc.contributor.departmentDepartment of Population and Quantitative Health Sciences
dc.contributor.departmentDepartment of Emergency Medicine
dc.contributor.departmentProgram in Digital Medicine, Department of Medicine
dc.source.pagese38113


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Copyright © Carly Herbert, Vik Kheterpal, Thejas Suvarna, John Broach, Juan Luis Marquez, Ben Gerber, Summer Schrader, Christopher Nowak, Emma Harman, William Heetderks, Nisha Fahey, Elizabeth Orvek, Peter Lazar, Julia Ferranto, Kamran Noorishirazi, Shivakumar Valpady, Qiming Shi, Honghuang Lin, Kathryn Marvel, Laura Gibson, Bruce Barton, Stephenie Lemon, Nathaniel Hafer, David McManus, Apurv Soni. Originally published in JMIR Formative Research (https://formative.jmir.org), 16.06.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
Except where otherwise noted, this item's license is described as Copyright © Carly Herbert, Vik Kheterpal, Thejas Suvarna, John Broach, Juan Luis Marquez, Ben Gerber, Summer Schrader, Christopher Nowak, Emma Harman, William Heetderks, Nisha Fahey, Elizabeth Orvek, Peter Lazar, Julia Ferranto, Kamran Noorishirazi, Shivakumar Valpady, Qiming Shi, Honghuang Lin, Kathryn Marvel, Laura Gibson, Bruce Barton, Stephenie Lemon, Nathaniel Hafer, David McManus, Apurv Soni. Originally published in JMIR Formative Research (https://formative.jmir.org), 16.06.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.